Blog
Technical articles on building and understanding AI systems — from transformer internals and generative AI to production RAG pipelines and machine learning fundamentals. Published on Medium.
A strict out-of-sample test of OpenFPL: train on two seasons, score once on a full season the models never saw, and report honestly what the forecasts can and can't do.
Aug 2026 · Machine Learning · Model Evaluation
A ground-up explanation of how LLMs work — architecture, training, and the intuition behind why they generate coherent text.
Feb 2026 · Large Language Models · Generative AI
How ML models, time-series features, and live data APIs power automated FPL team selection and player performance prediction.
Aug 2025 · Machine Learning · Predictive Analytics
Step-by-step implementation of GPT-2 in PyTorch — attention heads, positional encoding, and the full autoregressive training loop.
Apr 2025 · PyTorch · Transformers · Deep Learning
How to combine retrieval-augmented generation with ML classifiers to analyze open-ended survey responses at scale.
Oct 2024 · RAG · NLP · Production ML
A data-driven approach to FPL success using machine learning models for player selection, captaincy decisions, and transfer strategy.
Sep 2024 · Machine Learning · Data Analysis
Comprehensive guide to implementing KNN in Python from first principles — distance metrics, decision boundaries, and performance trade-offs.
Aug 2024 · Machine Learning · Python · Algorithms
Step-by-step construction of a Naive Bayes classifier using Bayes' theorem and conditional probability — no ML library required.
Aug 2024 · Machine Learning · Python · Classification
Practical guide to building a Siamese network in PyTorch with triplet loss for learning image embeddings and measuring visual similarity.
Aug 2024 · PyTorch · Computer Vision · Deep Learning
Binary classification from the ground up — gradient descent, sigmoid activation, and loss optimization using only NumPy.
Jul 2024 · Machine Learning · NumPy · Classification
Foundational ML — implementing linear regression using the normal equation and gradient descent, with visual explanations of the math.
Jul 2024 · Machine Learning · NumPy · Fundamentals